Digital camera resolution and proximal caries detection

Objectives: To evaluate the diagnostic accuracy of proximal caries detection from digitized film images captured by a digital camera at different resolution settings. Methods: Twenty-five periapical radiographs of 50 premolar and 25 molar teeth were photographed using a digital camera, Sony Cyber-sh...

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Main Authors: Sangsom Prapayasatok, A. Janhom, K. Verochana, S. Pramojanee
Format: Journal
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/61615
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-616152018-09-11T09:00:08Z Digital camera resolution and proximal caries detection Sangsom Prapayasatok A. Janhom K. Verochana S. Pramojanee Dentistry Health Professions Medicine Objectives: To evaluate the diagnostic accuracy of proximal caries detection from digitized film images captured by a digital camera at different resolution settings. Methods: Twenty-five periapical radiographs of 50 premolar and 25 molar teeth were photographed using a digital camera, Sony Cyber-shot, DSC-S75 at three different resolution settings: 640 X 480,1280 X 960 and 1600 X 1200. Seventy-five digital images were transferred to a computer, saved and opened using ACDSee software. In addition, a PowerPoint slide was made from each digital image. Five observers scored three groups of images (the films, the displayed 1:1 digital images on the ACDSee software, and the PowerPoint slides) for the existence of proximal caries using a 5-point confidence scale, and the depth of caries on a 4-point scale. Ground sections of the teeth were used as the gold standard. Az values under the receiver operating characteristic (ROC) curve of each group of images and at different resolutions were compared using the Friedman and Wilcoxon signed rank tests. Mean different values between the lesions' depth interpreted by the observers and that of the gold standard were analysed. Results: Films showed the highest Az values. Only the 1280 X 960 images on the ACDSee software showed no significant difference of the A2 value from the films (P = 0.28). The digital images from three resolution settings on the PowerPoint slides showed no significant differences, either among each other or between them and the films. For caries depth, the 1280 X 960 images showed lower values of mean difference in enamel lesions compared with the other two resolution groups. Conclusions: This study showed that in order to digitize conventional films, it was not necessary to use the highest camera resolution setting to achieve high diagnostic accuracy for proximal caries detection. The 1280 X 960 resolution setting of the digital camera demonstrated comparable diagnostic accuracy with film and was adequate for digitizing radiographs for caries detection. © 2006 The British Institute of Radiology. 2018-09-11T08:56:03Z 2018-09-11T08:56:03Z 2006-07-01 Journal 0250832X 2-s2.0-33746088452 10.1259/dmfr/32165678 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33746088452&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/61615
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Dentistry
Health Professions
Medicine
spellingShingle Dentistry
Health Professions
Medicine
Sangsom Prapayasatok
A. Janhom
K. Verochana
S. Pramojanee
Digital camera resolution and proximal caries detection
description Objectives: To evaluate the diagnostic accuracy of proximal caries detection from digitized film images captured by a digital camera at different resolution settings. Methods: Twenty-five periapical radiographs of 50 premolar and 25 molar teeth were photographed using a digital camera, Sony Cyber-shot, DSC-S75 at three different resolution settings: 640 X 480,1280 X 960 and 1600 X 1200. Seventy-five digital images were transferred to a computer, saved and opened using ACDSee software. In addition, a PowerPoint slide was made from each digital image. Five observers scored three groups of images (the films, the displayed 1:1 digital images on the ACDSee software, and the PowerPoint slides) for the existence of proximal caries using a 5-point confidence scale, and the depth of caries on a 4-point scale. Ground sections of the teeth were used as the gold standard. Az values under the receiver operating characteristic (ROC) curve of each group of images and at different resolutions were compared using the Friedman and Wilcoxon signed rank tests. Mean different values between the lesions' depth interpreted by the observers and that of the gold standard were analysed. Results: Films showed the highest Az values. Only the 1280 X 960 images on the ACDSee software showed no significant difference of the A2 value from the films (P = 0.28). The digital images from three resolution settings on the PowerPoint slides showed no significant differences, either among each other or between them and the films. For caries depth, the 1280 X 960 images showed lower values of mean difference in enamel lesions compared with the other two resolution groups. Conclusions: This study showed that in order to digitize conventional films, it was not necessary to use the highest camera resolution setting to achieve high diagnostic accuracy for proximal caries detection. The 1280 X 960 resolution setting of the digital camera demonstrated comparable diagnostic accuracy with film and was adequate for digitizing radiographs for caries detection. © 2006 The British Institute of Radiology.
format Journal
author Sangsom Prapayasatok
A. Janhom
K. Verochana
S. Pramojanee
author_facet Sangsom Prapayasatok
A. Janhom
K. Verochana
S. Pramojanee
author_sort Sangsom Prapayasatok
title Digital camera resolution and proximal caries detection
title_short Digital camera resolution and proximal caries detection
title_full Digital camera resolution and proximal caries detection
title_fullStr Digital camera resolution and proximal caries detection
title_full_unstemmed Digital camera resolution and proximal caries detection
title_sort digital camera resolution and proximal caries detection
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33746088452&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/61615
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